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Artificial intelligence projects using matlab in iran

Artificial intelligence projects using matlab in iran

Artificial intelligence projects using matlab in iran

Artificial intelligence (AI, also machine intelligenceMI) is apparently intelligent behaviour by machines, rather than the natural intelligence (NI) of humans and other animals. In computer science AI research is defined as the study of “intelligent agents“: any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.

The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring “intelligence” are often removed from the definition, a phenomenon known as the AI effect, leading to the quip “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently excluded from “artificial intelligence”, having become a routine technology. Capabilities generally classified as AI as of 2017 include successfully understanding human speech, competing at a high level in strategic gamesystems (such as chess and Go), autonomous cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data.

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an “AI winter“), followed by new approaches, success and renewed funding. For most of its history, AI research has been divided into subfields that often fail to communicate with each other. However, in the early 21st century statistical approaches to machine learning became successful enough to eclipse all other tools, approaches, problems and schools of thought.

The traditional problems (or goals) of AI research include reasoningknowledgeplanninglearningnatural language processingperception and the ability to move and manipulate objects. General intelligence is among the field’s long-term goals. Approaches include statistical methodscomputational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimizationneural networks and methods based on statistics, probability and economics. The AI field draws upon computer sciencemathematicspsychologylinguisticsphilosophyneuroscienceartificial psychology and many others.

The field was founded on the claim that human intelligence “can be so precisely described that a machine can be made to simulate it”. This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been explored by mythfiction and philosophy since antiquity. Some people also consider AI a danger to humanity if it progresses unabatedly.

In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science.


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Projects related Keywords:-

Solar, Wind, Renewable Energy, Maximum Power Point Tracking (MPPT), Load Flow, Economic-Dispatch, Unit Commitment, Distribution Network Reconfiguration, Transmission System, FACT Analysis, Power Market Analysis, Ancillary Services, Smart Grid, Hybrid, Integration, Power Loss Minimization, Power Market Cost Optimization, Generation, Reactive Power Procurement Model, Neural Network, Fuzzy Logic, Neuro-Fuzzy, Adaptive Neuro-Fuzzy Inference System (ANFIS), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant-Colony Optimization (ACO), Bacterial Foraging Optimization (BFO), Firefly Optimization, Fireworks Optimization, Backward-Forward Sweep, Fuzzy Tuned Methods, MATLAB, Simulink, Power System Analysis Tool (PSAT), General Algebraic Modeling System (GAMS).

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power systems, power lead system, solar power systems, economic dispatch, economic dispatch in power system, economic load dispatch using genetic algorithm, power system analysis, power system operation and control, power system analysis and design, power system control and stability, power system dynamics stability and control, power distribution system development project, power system projects using matlab.

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